significance level in hypothesis
significance level in hypothesis
Abu Dhabi Education Council (ADEC) is conducting a study towards bullying in private school. Previous study showed that among the reasons of the increase bullying in school due to lack of children discipline, family influence and school incompetence. The bullying involved both boys and girls
| Table 6: t-Test: Two-Sample Assuming Unequal Variances | ||
| Boys | Girls | |
| Mean | 4.11 | 3.31 |
| Variance | 0.56 | 0.69 |
| t Stat | 4.43 | |
| P(T<=t) one-tail | 0.00 | |
| t Critical one-tail | 1.66 | |
| P(T<=t) two-tail | 0.03 | |
| t Critical | 1.99 | |
- a) What is null and alternate hypothesis is being tested in Table 1?
1) Null Hypothesis
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
2) Alternate Hypothesis
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
- b) Use a significance level of 0.10 to test your hypothesis
1) Results
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
2) Interpretation
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
________________________________________________________________________________________________________________________________
| Table 7: Multiple Linear Regression | |||||
| Regression Statistics | |||||
| Multiple R | 0.87 | ||||
| R Square | 0.56 | ||||
| Adjusted R Square | 0.75 | ||||
| Observations | 72.00 | ||||
|
ANOVA |
|||||
| df | SS | MS | F | Significance F | |
| Regression | 3 | 2.75 | 0.92 | 15.49 | 0.00013 |
| Residual | 268 | 0.35 | 0.05 | ||
| Total | 271 | 3.10 | |||
|
|
|||||
| Coefficients | Standard Error | t Stat | P-value | ||
| Intercept | 0.35 | 0.53 | -1.2 | 0.01 | |
| Children Discipline | 0.25 | 0.09 | 4.5 | 0.00 | |
| Family Influence | 0.13 | 0.14 | 0.2 | 0.15 | |
| Incompetence School | 0.46 | 0.12 | -3.1 | 0.02 | |
- d) Based on Table 7, write the equation of your regression model
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
- e) Interpret your findings
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
- b) A t-test was used to assess whether factors related to turnover intention differed with respect to gender. Analyse the data from table 5
| Table 8: t-Test: Two-Sample Assuming Unequal Variances (Alpha 0.05) | ||
| Male | Female | |
| Mean | 3.48 | 3.98 |
| t Stat | 2.77 | |
| P(T<=t) one-tail | 0.00 | |
| t Critical one-tail | 1.66 | |
| P(T<=t) two-tail | 0.01 | |
| t Critical two-tail | 2.08 | |
State the hypothesis, and interpret the results of the test from Table 2
1) Null Hypothesis
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
2) Alternate Hypothesis
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
3) Result
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
4) Inference
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
- c) Why have the researchers not used ANOVA for the test above?
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
To test the influence of the three independent variables, multiple linear regression was conducted:
| Table 9: Multiple Linear Regression (Alpha = 0.05) | |||||
| Regression Statistics | |||||
| Multiple R | 0.98 | ||||
| R Square | 0.46 | ||||
| Adjusted R Square | 0.58 | ||||
| Standard Error | 0.85 | ||||
| Observations | 150.00 | ||||
| ANOVA | |||||
| df | SS | MS | F | Significance F | |
| Regression | 13.00 | 12.34 | 4.11 | 337.35 | 0.13 |
| Residual | 146.00 | 0.56 | 0.01 | ||
| Total | 149.00 | 12.90 | |||
| Coefficients | Standard Error | t Stat | P-value | ||
| Intercept | 1.91 | 0.07 | 28.58 | 0.23 | |
| Job Crafting | 0.63 | 0.04 | 17.16 | 0.00 | |
| Job Satisfaction | -0.21 | 0.02 | 0.17 | 0.07 | |
| Career Adaptability | -0.01 | 0.02 | -0.36 | 0.82 | |
- d) Use Table 3 to develop and interpret the regression equation
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
- e) Comment on the quality of the model
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
